Many solutions proposed in the literature to enforce privacy in presence of location information use, implicitly or explicitly, spatial granularities. However, most of the contributions do not describe the formal and computational properties of this tool in details. In this paper we propose three families of spatial granularities, specifically designed for privacy-aware systems. We mathematically characterize them and prove that all of them have two important formal properties. Then, for each of them, we show how to efficiently compute two fundamental operations.
Gonio, aequus and incognitus : three spatial granularities for privacy-aware systems / L. Bertolaja, D. Ahmetovic, S. Mascetti - In: Proceedings IEEE International Conference on Mobile Data Management. 2Piscataway : IEEE computer society, 2013. - ISBN 9781467360685. - pp. 79-84 (( Intervento presentato al 14. convegno International Conference on Mobile Data Management (MDM) tenutosi a Milano nel 2013 [10.1109/MDM.2013.70].
Gonio, aequus and incognitus : three spatial granularities for privacy-aware systems
L. BertolajaPrimo
;D. AhmetovicSecondo
;S. MascettiUltimo
2013
Abstract
Many solutions proposed in the literature to enforce privacy in presence of location information use, implicitly or explicitly, spatial granularities. However, most of the contributions do not describe the formal and computational properties of this tool in details. In this paper we propose three families of spatial granularities, specifically designed for privacy-aware systems. We mathematically characterize them and prove that all of them have two important formal properties. Then, for each of them, we show how to efficiently compute two fundamental operations.File | Dimensione | Formato | |
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